Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912136693809152 |
|---|---|
| author | Manziuk, Eduard Barmak, Oleksander Radiuk, Pavlo Kuznetsov, Vladislav Krak, Iurii Yakovlev, Sergiy |
| author_facet | Manziuk, Eduard Barmak, Oleksander Radiuk, Pavlo Kuznetsov, Vladislav Krak, Iurii Yakovlev, Sergiy |
| contents | This paper proposes a novel approach to semantic ontology alignment using contextual descriptors. A formalization was developed that enables the integration of essential and contextual descriptors to create a comprehensive knowledge model. The hierarchical structure of the semantic approach and the mathematical apparatus for analyzing potential conflicts between concepts, particularly in the example of "Transparency" and "Privacy" in the context of artificial intelligence, are demonstrated. Experimental studies showed a significant improvement in ontology alignment metrics after the implementation of contextual descriptors, especially in the areas of privacy, responsibility, and freedom & autonomy. The application of contextual descriptors achieved an average overall improvement of approximately 4.36%. The results indicate the effectiveness of the proposed approach for more accurately reflecting the complexity of knowledge and its contextual dependence. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_19113 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence Manziuk, Eduard Barmak, Oleksander Radiuk, Pavlo Kuznetsov, Vladislav Krak, Iurii Yakovlev, Sergiy Computation and Language Information Retrieval I.2.4; I.2.3; K.4.1 This paper proposes a novel approach to semantic ontology alignment using contextual descriptors. A formalization was developed that enables the integration of essential and contextual descriptors to create a comprehensive knowledge model. The hierarchical structure of the semantic approach and the mathematical apparatus for analyzing potential conflicts between concepts, particularly in the example of "Transparency" and "Privacy" in the context of artificial intelligence, are demonstrated. Experimental studies showed a significant improvement in ontology alignment metrics after the implementation of contextual descriptors, especially in the areas of privacy, responsibility, and freedom & autonomy. The application of contextual descriptors achieved an average overall improvement of approximately 4.36%. The results indicate the effectiveness of the proposed approach for more accurately reflecting the complexity of knowledge and its contextual dependence. |
| title | Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence |
| topic | Computation and Language Information Retrieval I.2.4; I.2.3; K.4.1 |
| url | https://arxiv.org/abs/2411.19113 |